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Sea level prediction in the Yellow Sea from satellite altimetry with a combined least squares-neural network approach / Jian Zhao in Marine geodesy, vol 42 n° 4 (July 2019)  

Public [article]  inMarine geodesy > vol 42 n° 4 (July 2019) . - pp 344 - 366 Titre : Sea level prediction in the Yellow Sea from satellite altimetry with a combined least squares-neural network approach Type de document : Article/Communication Auteurs : Jian Zhao, Auteur ; Yanguo Fan, Auteur ; Yuxiang Mu, Auteur Année de publication : 2019 Article en page(s) : pp 344 - 366 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie physique [Termes IGN] détection d'anomalie [Termes IGN] données altimétriques [Termes IGN] données Jason [Termes IGN] données Topex-Poseidon [Termes IGN] image ERS-SAR [Termes IGN] méthode des moindres carrés [Termes IGN] montée du niveau de la mer [Termes IGN] Pacifique nord [Termes IGN] prévision [Termes IGN] réseau neuronal artificiel [Termes IGN] série temporelle Résumé : (auteur) Accessible high-quality observation datasets and proper modeling process are critically required to accurately predict sea level rise in coastal areas. This study focuses on developing and validating a combined least squares-neural network approach applicable to the short-term prediction of sea level variations in the Yellow Sea, where the periodic terms and linear trend of sea level change are fitted and extrapolated using the least squares model, while the prediction of the residual terms is performed by several different types of artificial neural networks. The input and output data used are the sea level anomalies (SLA) time series in the Yellow Sea from 1993 to 2016 derived from ERS-1/2, Topex/Poseidon, Jason-1/2, and Envisat satellite altimetry missions. Tests of different neural network architectures and learning algorithms are performed to assess their applicability for predicting the residuals of SLA time series. Different neural networks satisfactorily provide reliable results and the root mean square errors of the predictions from the proposed combined approach are less than 2 cm and correlation coefficients between the observed and predicted SLA are up to 0.87. Results prove the reliability of the combined least squares-neural network approach on the short-term prediction of sea level variability close to the coast. Numéro de notice : A2019-281 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01490419.2019.1626306 Date de publication en ligne : 12/06/2019 En ligne : https://doi.org/10.1080/01490419.2019.1626306 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93115 [article]

Potential and limits of Sentinel-1 data for small alpine glaciers monitoring / Matthias Jauvin (2018)  

Public Titre : Potential and limits of Sentinel-1 data for small alpine glaciers monitoring Type de document : Article/Communication Auteurs : Matthias Jauvin, Auteur ; Yajing Yan, Auteur ; Emmanuel Trouvé, Auteur ; Bénédicte Fruneau , Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2018 Projets : 2-Pas d'info accessible - article non ouvert / Conférence : IGARSS 2018, IEEE International Geoscience And Remote Sensing Symposium, observing, understanding and forecasting the dynamics of our planet 22/07/2018 27/07/2018 Valencia Espagne Proceedings IEEE Importance : pp 5169 - 5172 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] Alpes (France) [Termes IGN] analyse diachronique [Termes IGN] Chamonix [Termes IGN] glacier [Termes IGN] image ERS-SAR [Termes IGN] image Sentinel-SAR [Termes IGN] image TanDEM-X [Termes IGN] interferométrie différentielle [Termes IGN] interféromètrie par radar à antenne synthétique [Termes IGN] Mont-Blanc, massif du [Termes IGN] surveillance hydrologique Résumé : (auteur) In this paper, we present new results of the use of Sentinel-1 data to monitor Alpine glacier displacement by SAR differential interferometry (D-InSAR) in Chamonix-Mont-Blanc Valley. Two time series of Sentinel-1 A/B images acquired from October 2016 to early April 2017 (including 31 ascending and 25 descending acquisitions) are used to form 6-day interferograms and to evaluate their potential for displacement measurements over small fast moving Alpine glaciers. Results show that, even at low latitudes as in the French Alps, fringe patterns can be observed over the glaciers during the cold season with favorable anti-cyclonic meteorological conditions. Different processing steps to derive final displacement fields are presented and discussed and the results are compared with ERS-Tandem results obtained on the same glaciers in winter 1996. Numéro de notice : C2018-059 Affiliation des auteurs : UPEM-LASTIG+Ext (2016-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/IGARSS.2018.8519231 Date de publication en ligne : 05/11/2018 En ligne : https://doi.org/10.1109/IGARSS.2018.8519231 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91375

Change-detection map learning using matching pursuit / Y. Li in IEEE Transactions on geoscience and remote sensing, vol 53 n° 8 (August 2015)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 53 n° 8 (August 2015) . - pp 4712 - 4723 Titre : Change-detection map learning using matching pursuit Type de document : Article/Communication Auteurs : Y. Li, Auteur ; Maoguo Gong, Auteur ; Licheng Jiao, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 4712 - 4723 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] apprentissage automatique [Termes IGN] apprentissage dirigé [Termes IGN] couple stéréoscopique [Termes IGN] détection de changement [Termes IGN] Fleuve jaune (Chine) [Termes IGN] image ERS-SAR Résumé : (Auteur) Learning can be of great use when dealing with problems in various fields. Inspired by locally linear embedding from manifold, we propose a novel automatic change-detection method through an offline learning approach. The proposed method comprises three steps. First, two coupled dictionaries of the difference image (DI) patches and change-detection map patches are generated from known image pairs. Second, we approximately represent each patch of the input DI with respect to the DI dictionary by using the matching the pursuit algorithm. Third, the coefficients of this representation are applied with the change-detection map dictionary to generate the output change-detection map. This way, we exploit the relationship between the DI patches and the corresponding change-detection map patches based on two coupled dictionaries. In addition, the relationship guides us to construct the change-detection map for any given input DI. Experimental results on real synthetic aperture radar databases show that the proposed method is superior to its counterparts. Our method can obtain promising results, even though the dictionaries are prepared by simple random sampling from fixed training images. Numéro de notice : A2015-388 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2015.2407953 En ligne : https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7059248 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76867 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-2015081	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Simulating SAR geometric distortions and predicting Persistent Scatterer densities for ERS-1/2 and ENVISAT C-band SAR and InSAR applications: Nationwide feasibility assessment to monitor the landmass of Great Britain with SAR imagery / Francesca Cigna in Remote sensing of environment, vol 152 (September 2014)    

Public [article]  inRemote sensing of environment > vol 152 (September 2014) . - pp 441 - 466 Titre : Simulating SAR geometric distortions and predicting Persistent Scatterer densities for ERS-1/2 and ENVISAT C-band SAR and InSAR applications: Nationwide feasibility assessment to monitor the landmass of Great Britain with SAR imagery Type de document : Article/Communication Auteurs : Francesca Cigna, Auteur ; Luke B. Bateson, Auteur ; Colm J. Jordan, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 441 - 466 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] coin réflecteur [Termes IGN] distorsion d'image [Termes IGN] effondrement de terrain [Termes IGN] étude de faisabilité [Termes IGN] Grande-Bretagne [Termes IGN] image Envisat-ASAR [Termes IGN] image ERS-SAR [Termes IGN] image radar moirée [Termes IGN] interféromètrie par radar à antenne synthétique [Termes IGN] risque naturel [Termes IGN] simulation Index. décimale : 35.43 Applications de télédétection - géologie Résumé : (auteur) We assess the feasibility of monitoring the landmass of Great Britain with satellite Synthetic Aperture Radar (SAR) imagery, by analysing ERS-1/2 SAR and ENVISAT IS2 Advanced SAR (ASAR) archive data availability, geometric distortions and land cover control on the success of (non-)interferometric analyses. Our assessment both addresses the scientific and operational question ofwhether a nationwide SAR-based monitoring of ground motion would succeed in Great Britain, and helps to understand controlling factors and possible solutions to overcome the limitations of undertaking SAR-based imaging of the landmass. This is the first time such a nationwide assessment is performed in preparation for acquisition and processing of SAR data in the United Kingdom, and any other country in the world. Analysis of the ERS-1/2 and ENVISAT archives reveals potential for multi-interferogram SAR Interferometry (InSAR) for the entirety of Britain using ERS-1/2 in descending mode, with 100% standard image frames showing at least 20 archive scenes available. ERS-1/2 ascending and both ENVISAT modes show potential for non-interferometric and single-pair InSAR for the vast majority of Britain, and multi-interferogram only for 13% to 38% of the available standard frames. Based on NEXTMap® Britain Digital Terrain Model (DTM) we simulate SAR layover, foreshortening and shadow to the ERS-1/2 and ENVISAT Lines-Of-Sight (LOS), and quantify changes of SAR distortions with variations in mode, LOS incidence angles and ground track angles, local terrain orientation, and the effect of scale due to the input DTM resolution. The simulation is extended to the ~230,000 km2 landmass, and shows limited control of local topography on the radar terrain visibility. According to the 50m to 5m DTM-based simulations, ~1.0–1.4% of Great Britain could potentially be affected by shadowand layover in eachmode. Only ~0.02–0.04% overlapping between ascending and descending mode distortions is found, this indicating the negligible proportion of the landmass that cannot be monitored using either imaging mode. We calibrate the CORINE Land Cover 2006 (CLC2006) using Persistent Scatterer (PS) datasets available for London, Stoke-On-Trent, Newcastle and Bristol, to quantify land cover control on the PS distribution and characterize the CLC2006 classes in terms of the potential PS density they could provide. Despite predominance of rural land cover types, we predict potential for over 12.8 M monitoring targets for each acquisition mode using a set of image frames covering the entire landmass. We validate our assessment by processing with the Interferometric Point Target Analysis (IPTA) 55 ERS-1/2 SAR scenes depicting South Wales between 1992 and 1999. Although absolute differences between predicted and observed target density are revealed, relative densities and rankings among the various CLC2006 classes are found constant across the calibration and validation datasets. Rescaled predictions for Britain show potential for a total of 2.5M monitoring targets across the landmass. We examine the use of the topographic and land cover feasibility maps for landslide studies in relation to the British Geological Survey's National Landslide Database and DiGMapGB mass movement layer. Building upon recent literature, we finally discuss future perspectives relating to the replication of our feasibility assessment to account for higher resolution SAR imagery, new Earth explorers (e.g., Sentinel-1) and improved processing techniques, showing potential to generate invaluable sources of information on land motions and geohazards in Great Britain. Numéro de notice : A2014-452 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2014.06.025 Date de publication en ligne : 05/08/2014 En ligne : https://doi.org/10.1016/j.rse.2014.06.025 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74014 [article]

Documents numériques

en open access A2014-452 simulating SAR geometric distorsions_Cigna Adobe Acrobat PDF

Hangrutschungskartierung mittels Radar Interferometrie / U. Wegmuller in Géomatique suisse, vol 110 n° 9 (01/09/2012)

Public [article]  inGéomatique suisse > vol 110 n° 9 (01/09/2012) . - pp 424 - 431 Titre : Hangrutschungskartierung mittels Radar Interferometrie Titre original : [Cartographie de glissements de terrains en pente avec l'interférométrie radar] Type de document : Article/Communication Auteurs : U. Wegmuller, Auteur ; Tazio Strozzi, Auteur ; A. Wiesmann, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 424 - 431 Note générale : Bibliographie Langues : Allemand (ger) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] carte thématique [Termes IGN] effondrement de terrain [Termes IGN] image Envisat-ASAR [Termes IGN] image ERS-SAR [Termes IGN] image radar moirée [Termes IGN] interféromètrie par radar à antenne synthétique [Termes IGN] mouvement de terrain [Termes IGN] pergélisol Résumé : (Auteur) Ces dernières années la méthode d'interférométrie SAR s'est fortement développée notamment grâce aux senseurs ERS-1, ERS-2 et ENVISAT-ASAR de l'Agence Spatiale Européenne ESA. Un important domaine d'application consiste en la cartographie de mouvements de terrains. A l'intérieur de la Suisse, la méthode d'interférométrie SAR est notamment utilisée pour la cartographie de glissements de terrains en pente. Les informations concernant les glissements de terrains sont d'actualité pour l'élaboration des cartes des dangers des cantons. Au vu de la probable augmentation des dangers de glissements de terrains en pente et de chutes de rochers due au réchauffement du climat et des changements secondaires en résultant tels que réduction du pergélisol alpin et retrait des glaciers, on peut s'attendre à un besoin croissant en informations. Numéro de notice : A2012-403 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31849 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
136-2012091	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Une approche parallèle d'évaluation des paramètres de texture pour l'analyse d'images de grande taille / N. Talla Tankam in Revue Française de Photogrammétrie et de Télédétection, n° 195 (Novembre 2011)

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Cartographie des linéaments et lithologique dans le secteur de Sebt Brikyne (jonction Doukkala-Rehamna, Maroc) par l'utilisation de l'imagerie satellitaire optique et radar / K. Labassi in Revue Française de Photogrammétrie et de Télédétection, n° 195 (Novembre 2011)

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Phosphate mine subsidences deduced from differential interferometry (DInSAR): The Moulares case example (southern Atlas of Tunisia) / Mehdi Ben Hassen in Comptes rendus : Géoscience, vol 343 n° 11-12 (November - December 2011)  

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Persistent scatterer interferometry : potential, limits and initial C- and X-band comparison / M. Crosetto in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 9 (September 2010)  

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Interferometric SAR for characterization of ravines as a function of their density, depth, and surface cover / R.S. Chatterjee in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 5 (September - October 2009)  

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Validation and comparison of advanced differential interferometry techniques: Murcia metropolitan area case study / G. Herrera in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 5 (September - October 2009)  

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Assessing image processing techniques for geological mapping: a case study in Eljufra, Libya / N.M. Saadi in Geocarto international, vol 24 n° 3 (June - July 2009)  

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Génération d'un modèle numérique de terrain Radar : application à la région d'Oran, Algérie / K. Hasni in Bulletin des sciences géographiques, n° 23 (juin 2009)

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The role of the integration of remote sensing and GIS in land use/land cover analysis after an earthquake / C. Aydoner in International Journal of Remote Sensing IJRS, vol 30 n° 7 (April 2009)  

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Using ENVISAT ASAR global mode data for surface soil moisture retrieval over Oklahoma, USA / Carsten Pathe in IEEE Transactions on geoscience and remote sensing, vol 47 n° 2 (February 2009)  

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